Pub Date : 2020-09-05DOI: 10.1109/ICCE50343.2020.9290641
A. Varshney, S. Biswas, P. S. Bera, Partha Pratim Sarkar
Metamaterial inspired zero order resonator (ZOR) at a desired frequency of around 2.45GHz has been designed and optimized using full wave electromagnetic software for its use in a highly compact antenna that requires zero phase shift. Equivalent circuit of the resonator based on modified composite right left hand transmission line (MCRLHTL) has been obtained and results have been compared with microstrip realization on FR4 epoxy substrate with relative permittivity=4.4 and thickness=1.6mm. The ZOR that is impedance matched with quarter wave transformer depicts monopolar radiation pattern with resonant frequency of 2.49GHz whereas the antenna when impedance matched with single stub tuning depicts patch like radiation pattern with resonant frequencies of 2.42GHz and 2.51GHz.
{"title":"Design of Metamaterial Inspired Miniaturized Microstrip Antennas Based on Zero Order Resonators","authors":"A. Varshney, S. Biswas, P. S. Bera, Partha Pratim Sarkar","doi":"10.1109/ICCE50343.2020.9290641","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290641","url":null,"abstract":"Metamaterial inspired zero order resonator (ZOR) at a desired frequency of around 2.45GHz has been designed and optimized using full wave electromagnetic software for its use in a highly compact antenna that requires zero phase shift. Equivalent circuit of the resonator based on modified composite right left hand transmission line (MCRLHTL) has been obtained and results have been compared with microstrip realization on FR4 epoxy substrate with relative permittivity=4.4 and thickness=1.6mm. The ZOR that is impedance matched with quarter wave transformer depicts monopolar radiation pattern with resonant frequency of 2.49GHz whereas the antenna when impedance matched with single stub tuning depicts patch like radiation pattern with resonant frequencies of 2.42GHz and 2.51GHz.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"363 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132951854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Here in this paper nonlinear fractional differential equation and its solution have been presented. Fractional Calculus is nothing but the generalization of integer order calculus and due to its complexity, it has not explored much but nature understands the language of fractional calculus more than classical calculus which helps it to find its application in every field of science and technology. It is not easy to approximate the fractional differential equation (FDE) easily but few efficient methods are used efficiently to approximate linear as well as nonlinear FDE. Such a numerical approach is Adam’s Predictor-Corrector method that are extensively used to approximate linear as well as nonlinear FDE. Here Adam’s Predictor-Corrector method is used to approximate single term nonlinear FDE with an example which shows different results for separate use of Predictor, Corrector as well as both Predictor and Corrector to approximate nonlinear FDE which also shows the numerical efficiency of each terms to approximate nonlinear FDE that will help in improvement of the result of numerical approximation. All simulations have been done in MATLAB.
{"title":"Numerical Approach for Finding the Solution of Single Term Nonlinear Fractional Differential Equation","authors":"Ramashis Banerjee, Debottam Mukherjee, Pabitra Kumar Guchhait, Samrat Chakraborty, Joydeep Bhunia, Arnab Pal","doi":"10.1109/ICCE50343.2020.9290561","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290561","url":null,"abstract":"Here in this paper nonlinear fractional differential equation and its solution have been presented. Fractional Calculus is nothing but the generalization of integer order calculus and due to its complexity, it has not explored much but nature understands the language of fractional calculus more than classical calculus which helps it to find its application in every field of science and technology. It is not easy to approximate the fractional differential equation (FDE) easily but few efficient methods are used efficiently to approximate linear as well as nonlinear FDE. Such a numerical approach is Adam’s Predictor-Corrector method that are extensively used to approximate linear as well as nonlinear FDE. Here Adam’s Predictor-Corrector method is used to approximate single term nonlinear FDE with an example which shows different results for separate use of Predictor, Corrector as well as both Predictor and Corrector to approximate nonlinear FDE which also shows the numerical efficiency of each terms to approximate nonlinear FDE that will help in improvement of the result of numerical approximation. All simulations have been done in MATLAB.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125067458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-05DOI: 10.1109/ICCE50343.2020.9290693
R. Sanyal, S. Coomar, D. Chanda (Sarkar), Partha Sarathi Bera, Partha Pratim Sarkar
This paper presents a printed ultra-wideband (UWB) monopole antenna with enhanced dual-band notch characteristics at 5.5 GHz and 7.5 GHz. As the proposed antenna comprises a quasi-elliptical patch and staircase ground plane with rectangular bevel slots, it is capable of producing much wider impedance bandwidth (2.9 -16 GHz, VSWR ≤ 2). To obtain enhanced rejection at 5.5 GHz, two different λ/2 filters are incorporated. These filters include C shaped slot at the patch and symmetrical pair of Rectangular single complementary split ring resonator (RSCSRR) to the ground plane. Strong rejection at 7.5 GHz has been achieved by employing another combination of λ/2 filters consisting of U shaped slot on the feed line and modified C shaped defective ground structure (DGS). By proper adjustment of the gap between the RSCSRR pair and separation of modified C shaped DGS from the lower periphery of the ground plane, the Quality factor of the notched bands can be easily controlled.
{"title":"Design of UWB Monopole Antenna with 5.5/7.5 GHz Enhanced and Controllable Dual Band Rejection Characteristics","authors":"R. Sanyal, S. Coomar, D. Chanda (Sarkar), Partha Sarathi Bera, Partha Pratim Sarkar","doi":"10.1109/ICCE50343.2020.9290693","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290693","url":null,"abstract":"This paper presents a printed ultra-wideband (UWB) monopole antenna with enhanced dual-band notch characteristics at 5.5 GHz and 7.5 GHz. As the proposed antenna comprises a quasi-elliptical patch and staircase ground plane with rectangular bevel slots, it is capable of producing much wider impedance bandwidth (2.9 -16 GHz, VSWR ≤ 2). To obtain enhanced rejection at 5.5 GHz, two different λ/2 filters are incorporated. These filters include C shaped slot at the patch and symmetrical pair of Rectangular single complementary split ring resonator (RSCSRR) to the ground plane. Strong rejection at 7.5 GHz has been achieved by employing another combination of λ/2 filters consisting of U shaped slot on the feed line and modified C shaped defective ground structure (DGS). By proper adjustment of the gap between the RSCSRR pair and separation of modified C shaped DGS from the lower periphery of the ground plane, the Quality factor of the notched bands can be easily controlled.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132797445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-05DOI: 10.1109/ICCE50343.2020.9290598
R. Barua, S. Datta, P. Datta, A. Chowdhury
Needle insertion process of tissue engineering is one the most significant process in biomedical and tissue engineering. Tissue deformation will occur when needle try to punctures the tissue upper surface, it is an important issues of needle insertion process, which results the needle exact location into the tissue. In this study, a tissue deformation model of needle insertion process is discussed. A conical type of needle is used for needle penetration process. The techniques for calculating the radius and depth of the deformation are presented to estimate the volume of needle tissue deformation. The total needle force is also calculated, and the maximum displacement of the needle inside the tissue has been introduced.
{"title":"Experimental Analysis the Tissue Deformation of Needle Insertion Process in Tissue Engineering","authors":"R. Barua, S. Datta, P. Datta, A. Chowdhury","doi":"10.1109/ICCE50343.2020.9290598","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290598","url":null,"abstract":"Needle insertion process of tissue engineering is one the most significant process in biomedical and tissue engineering. Tissue deformation will occur when needle try to punctures the tissue upper surface, it is an important issues of needle insertion process, which results the needle exact location into the tissue. In this study, a tissue deformation model of needle insertion process is discussed. A conical type of needle is used for needle penetration process. The techniques for calculating the radius and depth of the deformation are presented to estimate the volume of needle tissue deformation. The total needle force is also calculated, and the maximum displacement of the needle inside the tissue has been introduced.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122758692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-05DOI: 10.1109/ICCE50343.2020.9290689
S. Maur, B. Chakraborty, S. Dalai, B. Chatterjee
This paper describes about ageing effect on the polymeric insulation through Debye model analysis. Polarization and depolarization current (PDC) measurement is a noninvasive technique to judge the condition of dielectrics used for high voltage insulation. Polarization current is the combination of conduction current and displacement current but the depolarization current is only dependent on dipole relaxation and so, no conduction current is involved in it. Therefore, the depolarization current directly depends on the response function which is further dependent on the inherent property of the dielectric. So, it is possible to analyze the condition of the insulation on the basis of PDC. In this paper, the Debye model parameters are estimated from the depolarization current. It is identified from the branch parameters that with increase of ageing duration the branch parameters as well as the time constant of each branch distinctly increased. An equation is derived which is based on released charge from the depolarization current. From the equation, parameters which can identify the ageing status could be observed.
{"title":"Investigation on Effects of Thermal Ageing on LDPE Based on Polarization and Depolarization Currents","authors":"S. Maur, B. Chakraborty, S. Dalai, B. Chatterjee","doi":"10.1109/ICCE50343.2020.9290689","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290689","url":null,"abstract":"This paper describes about ageing effect on the polymeric insulation through Debye model analysis. Polarization and depolarization current (PDC) measurement is a noninvasive technique to judge the condition of dielectrics used for high voltage insulation. Polarization current is the combination of conduction current and displacement current but the depolarization current is only dependent on dipole relaxation and so, no conduction current is involved in it. Therefore, the depolarization current directly depends on the response function which is further dependent on the inherent property of the dielectric. So, it is possible to analyze the condition of the insulation on the basis of PDC. In this paper, the Debye model parameters are estimated from the depolarization current. It is identified from the branch parameters that with increase of ageing duration the branch parameters as well as the time constant of each branch distinctly increased. An equation is derived which is based on released charge from the depolarization current. From the equation, parameters which can identify the ageing status could be observed.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"276 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127346990","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-05DOI: 10.1109/ICCE50343.2020.9290718
Saurav Kumar, R. Mishra, Anuran Mitra, Soumita Biswas, Sayantani De, Raja Karmakar
Artificial Neural Networks (ANNs) give a practical, general method for learning discrete-valued, real-valued, and vector-valued functions from examples. The algorithms used for training models aim to construct an optimization framework and apprehend the parameters in the target function from the provided dataset. ANN learning is vigorous to errors in the training data which has been successfully applied to scenarios like speech recognition, interpreting visual scenes and robotics. This paper basically aims to provide an experimental study to compare various optimization or training algorithms and determines the best suited optimization method corresponding to a particular dataset in terms of accuracy and loss. To the best of our knowledge, this paper is the first to consider different learning rate values to study the comparison between different training or optimization algorithms.
{"title":"A Relative Comparison of Training Algorithms in Artificial Neural Network","authors":"Saurav Kumar, R. Mishra, Anuran Mitra, Soumita Biswas, Sayantani De, Raja Karmakar","doi":"10.1109/ICCE50343.2020.9290718","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290718","url":null,"abstract":"Artificial Neural Networks (ANNs) give a practical, general method for learning discrete-valued, real-valued, and vector-valued functions from examples. The algorithms used for training models aim to construct an optimization framework and apprehend the parameters in the target function from the provided dataset. ANN learning is vigorous to errors in the training data which has been successfully applied to scenarios like speech recognition, interpreting visual scenes and robotics. This paper basically aims to provide an experimental study to compare various optimization or training algorithms and determines the best suited optimization method corresponding to a particular dataset in terms of accuracy and loss. To the best of our knowledge, this paper is the first to consider different learning rate values to study the comparison between different training or optimization algorithms.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123800368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-05DOI: 10.1109/ICCE50343.2020.9290649
Arjun Hati, Animesh Bhattacharya, Soujanya Ray, Amal K. Ghosh
Innovative technologies always provides an aid for the accomplishment of certain complex goals following an easier and organized approach. Ever since the inception of technological advancement, the minimization of power consumption has always been its prime objective. In the field of digital electronics reversible gates render this amelioration in a substantial way. With the presence of an equal number of inputs and outputs, no bit is lost, hence obtaining a reduction in power loss. In this paper, we have implemented an optical tree architecture (OTA) model of an optical reversible universal quadruple logic gate (ORUQLG). Realization of all the basic logic gates by using reversible universal quadruple gate along with block diagram and truth table is illustrated to prove its universality. The optical model of each gate using Savart plate and spatial light modulator (SLM) is explained to validate its functionality in a multi-valued logic system as well. Finally, simulation of all the circuits is done using python language to prove the authenticity of the developed circuits.
{"title":"Realization and Implementation of Optical Reversible Universal Quadruple Logic Gate (ORUQLG)","authors":"Arjun Hati, Animesh Bhattacharya, Soujanya Ray, Amal K. Ghosh","doi":"10.1109/ICCE50343.2020.9290649","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290649","url":null,"abstract":"Innovative technologies always provides an aid for the accomplishment of certain complex goals following an easier and organized approach. Ever since the inception of technological advancement, the minimization of power consumption has always been its prime objective. In the field of digital electronics reversible gates render this amelioration in a substantial way. With the presence of an equal number of inputs and outputs, no bit is lost, hence obtaining a reduction in power loss. In this paper, we have implemented an optical tree architecture (OTA) model of an optical reversible universal quadruple logic gate (ORUQLG). Realization of all the basic logic gates by using reversible universal quadruple gate along with block diagram and truth table is illustrated to prove its universality. The optical model of each gate using Savart plate and spatial light modulator (SLM) is explained to validate its functionality in a multi-valued logic system as well. Finally, simulation of all the circuits is done using python language to prove the authenticity of the developed circuits.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114231330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-05DOI: 10.1109/ICCE50343.2020.9290574
Sovan Saha, P. Chatterjee, Subhadip Basu, M. Nasipuri
Protein function prediction becomes more challenging to the research community as it can be characterized as multi-label, hierarchical multi-class classification problem. This problem becomes complicated in nature as it suffers from several hardships which can be mentioned as: 1) Multiple functional groups with different confidence degree can be integrated with each protein; 2) Disintegrated multiple types of collected from heterogeneous sources; 3) Presence of functional groups in hierarchical relationship not in independent form; 4) incomplete and missing functional annotation of proteins; 5) Imbalanced proportion of functional groups; 6) Use of experimentally or computationally predicted biological data resulting into misleading inference due to false positive data; 7) Efficacy or weakness of artificially created heuristic driven negative sample (for example, Protein non-interacting data) etc. Considering these factors, in this paper, protein functional annotation is done using protein interaction information, sequence similarity where hierarchical relationship among functional groups are used and facilitated by FunCat taxonomy. Protein Interaction data with annotation of MIPS functional Catalogue and FunCat Taxonomy is used for this work.
{"title":"Multiple Functions Prediction of Yeast Saccharomyces Cerevisiae Proteins using Protein Interaction Information, Sequence Similarity and FunCat Taxonomy","authors":"Sovan Saha, P. Chatterjee, Subhadip Basu, M. Nasipuri","doi":"10.1109/ICCE50343.2020.9290574","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290574","url":null,"abstract":"Protein function prediction becomes more challenging to the research community as it can be characterized as multi-label, hierarchical multi-class classification problem. This problem becomes complicated in nature as it suffers from several hardships which can be mentioned as: 1) Multiple functional groups with different confidence degree can be integrated with each protein; 2) Disintegrated multiple types of collected from heterogeneous sources; 3) Presence of functional groups in hierarchical relationship not in independent form; 4) incomplete and missing functional annotation of proteins; 5) Imbalanced proportion of functional groups; 6) Use of experimentally or computationally predicted biological data resulting into misleading inference due to false positive data; 7) Efficacy or weakness of artificially created heuristic driven negative sample (for example, Protein non-interacting data) etc. Considering these factors, in this paper, protein functional annotation is done using protein interaction information, sequence similarity where hierarchical relationship among functional groups are used and facilitated by FunCat taxonomy. Protein Interaction data with annotation of MIPS functional Catalogue and FunCat Taxonomy is used for this work.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121036855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-05DOI: 10.1109/ICCE50343.2020.9290642
Mousumi Jana Bala, Debarsi Roy, A. Sengupta
This paper presents the design of a radial flux Brushless dc (BLDC) motor with a special type of permanent magnet arrangement known as Halbach-array magnet arrangement. Halbach-array magnets are placed in between the rotor poles and its magnetization is set in such a way so that it increases the overall air gap flux density. The performance of the Halbach-BLDC motor is analyzed. The aim of this paper is to compare the design and performances of a Halbach-BLDC motor with a conventional BLDC motor. The designs are tested using FEA solutions. The experiment shows that the Halbach-BLDC motor enhances the performance by increasing its speed, overall torque and the magnetic flux density. A 48V 0.5kW 8 pole Halbach-BLDC motor is designed and analysed using Ansys Maxwell software.
{"title":"The Performance Enhancement of BLDC Motor Using Halbach Array Rotor","authors":"Mousumi Jana Bala, Debarsi Roy, A. Sengupta","doi":"10.1109/ICCE50343.2020.9290642","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290642","url":null,"abstract":"This paper presents the design of a radial flux Brushless dc (BLDC) motor with a special type of permanent magnet arrangement known as Halbach-array magnet arrangement. Halbach-array magnets are placed in between the rotor poles and its magnetization is set in such a way so that it increases the overall air gap flux density. The performance of the Halbach-BLDC motor is analyzed. The aim of this paper is to compare the design and performances of a Halbach-BLDC motor with a conventional BLDC motor. The designs are tested using FEA solutions. The experiment shows that the Halbach-BLDC motor enhances the performance by increasing its speed, overall torque and the magnetic flux density. A 48V 0.5kW 8 pole Halbach-BLDC motor is designed and analysed using Ansys Maxwell software.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123966005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-05DOI: 10.1109/ICCE50343.2020.9290505
Riya Mishra, S. Mandal, S. Bala
A miniaturized dual-band rectangular MSA (Microstrip Antenna) has been presented in this article. The miniaturization and two bands characteristics have been achieved by inserting U, L, O, and rectangular type slots on the metal rectangular patch and DGS (Defected-Ground-Structure) on the ground. Suggested MSA provides two bands, one range from 3.13-3.27 GHz with 3.2 GHz resonant frequency and 4.4% of bandwidth while the other one ranges from 4.93-5.08 GHz with resonant frequency of 5.0 GHz and 3% of bandwidth. The gain (simulated) at 3.0 GHz and 5.0 GHz are 1.18 dBi and 1.67 dBi respectively. The achieved compactness of the suggested MSA is 71.1%. The radiation patterns are acceptable at 3.2 GHz and 5.0 GHz. The suggested MSA is modelled by Ansoft Designer V2 software and energized by 50 Ω coaxial feed line. Return loss, maximum gain and radiation patterns are discussed here. The antenna is very simple to model and very low-cost dielectric material is used. The antenna is useful for wireless applications.
{"title":"Design of A Dual-Band Rectangular MSA Using U, L, O and rectangular Slots on Metal Patch and Inverted L like DGS on Ground Plane","authors":"Riya Mishra, S. Mandal, S. Bala","doi":"10.1109/ICCE50343.2020.9290505","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290505","url":null,"abstract":"A miniaturized dual-band rectangular MSA (Microstrip Antenna) has been presented in this article. The miniaturization and two bands characteristics have been achieved by inserting U, L, O, and rectangular type slots on the metal rectangular patch and DGS (Defected-Ground-Structure) on the ground. Suggested MSA provides two bands, one range from 3.13-3.27 GHz with 3.2 GHz resonant frequency and 4.4% of bandwidth while the other one ranges from 4.93-5.08 GHz with resonant frequency of 5.0 GHz and 3% of bandwidth. The gain (simulated) at 3.0 GHz and 5.0 GHz are 1.18 dBi and 1.67 dBi respectively. The achieved compactness of the suggested MSA is 71.1%. The radiation patterns are acceptable at 3.2 GHz and 5.0 GHz. The suggested MSA is modelled by Ansoft Designer V2 software and energized by 50 Ω coaxial feed line. Return loss, maximum gain and radiation patterns are discussed here. The antenna is very simple to model and very low-cost dielectric material is used. The antenna is useful for wireless applications.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126308266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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